Accelerate space traffic management in the cloud
summary
LeoLabs runs a space-traffic platform on AWS HPC and serverless services that processes half a million radar measurements per day, updates 13,000 orbit estimates daily, and issues ~800,000 conjunction alerts; the system delivers 181 million conjunction messages per month, supports 46,000 maneuver checks a month, and reduces computation time by 99.9% with radar-to-customer latency around 10 minutes. A global network of phased-array radars (each built in <1 year, six sites by early 2022, Kiwi radar covers the Southern Hemisphere) tracks debris and active satellites and the collision-avoidance service operates in real time and works at scale.
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chapters (16)
- 0:00Intro
- 0:34The world has always monitored space
- 1:34With significant infrastructure
- 2:16Even today
- 4:06LEO is busy and changing fast
- 7:04LeoLabs' data source: Unique ground-based radars
- 7:52LeoLabs transformational global radar network
- 9:47LeoLabs platform: Fully automated and remotely accessible
- 11:46Why is collision avoidance important?
- 14:34Collision scenario: "2 cars running a red light"
- 16:52LeoLabs Collision Avoidance (CA) service
- 20:27The future of space traffic safety: Rendezvous and proximity operations
- 22:27Supporting Launch and Early Orbit Phase (LEOP) operations
- 26:47Real-time services
- 29:36Cloud computing enables orbital safety
- 31:15AWS Training and Certification
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